Former Google and Apple Researchers Launch a Startup to Build AI’s Missing Feedback Loop
A new startup called Trajectory has been launched by former researchers from Google and Apple to create AI products that can learn continuously from real-world interactions. The company has raised $15 million in seed funding and aims to address the limitations of current AI models that do not improve after initial training. Trajectory's platform is designed to help businesses optimize AI models for their specific needs, enhancing their capabilities over time.
- ▪Trajectory was founded by Ronak Malde, Michael Elabd, and Arjun Karanam, who previously worked at major tech companies.
- ▪The startup has raised $15 million in seed funding, led by Conviction and supported by other venture capital firms.
- ▪Trajectory aims to create a platform that enables AI products to learn continuously, addressing a significant barrier in AI development.
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| Original publisher | WIRED |
| Canonical URL | https://www.wired.com/story/ex-google-apple-ai-researchers-want-to-make-ai-that-gets-smarter-as-you-use-it/ |
| Publication time | Wed, 27 May 2026 14:00:00 +0000 |
| Retrieval time | 2026-05-27T14:08:01.307Z |
| Last seen | 2026-05-27T14:08:01.307Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Z8Zl6SqaJHIk · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Maxwell ZeffBusinessMay 27, 2026 10:00 AMFormer Google and Apple Researchers Launch a Startup to Build AI’s Missing Feedback LoopTrajectory is betting the rapid iteration cycle that supercharged vibe-coding can help all kinds of companies build AI products that learn continuously.Trajectory founders, Ronak Malde (left), Michael Elabd(center), and Arjun Karanam (right).Photo-Illustration: WIRED Staff; Courtesy of Trajectory AICommentLoaderSave StorySave this storyCommentLoaderSave StorySave this storyA group of AI researchers who previously worked at Google DeepMind, Apple, OpenAI, and Meta Superintelligence Labs announced on Wednesday they’re launching a new startup called Trajectory, which aims to help companies regularly improve their AI products by training on real-world user…
Excerpt limited to ~120 words for fair-use compliance. The full article is at WIRED.